Discover trending tokens — screener, SM holdings, Nansen indicators, and flow intelligence for promising finds. Use when scanning for new tokens or screening what's hot.

Token Discovery Answers: "What tokens are trending and worth a deeper look?" Screener timeframes: 5m , 10m , 1h , 6h , 24h , 7d , 30d Indicators: score is "bullish"/"bearish"/"neutral". signal percentile 70 = historically significant. Some tokens return empty indicators — not an error. Top tokens — Nansen Score field reference Results are pre filtered to performance score = 15 server side and returned sorted by: 1. performance score DESC 2. market cap group priority (largecap → midcap → lowcap) 3. risk score DESC 4. 24h volume DESC So row 0 is always the strongest candidate for the filter you applied — no client side ranking needed. Market cap buckets (used in both the sort priority and the market cap filter): lowcap : market cap < $100M midcap : market cap $100M – $1B largecap : market cap $1B Every contribution is ternary — exactly one of {negative, 0, positive} per field. No partial values. Zero means "indicator didn't apply to this token" (out of scope), not "indicator was neutral". Performance Score (Alpha — "likely to outperform BTC over 7–30d") Range: 60 to +75 (arithmetic bounds; live max is closer to +45 since no single token hits every positive indicator simultaneously). Buy threshold: = 15 . Sum of the five performance fields below. Field Contribution Trigger What the underlying indicator measures price momentum performance +30 / 0 upstream score bullish → +30 Price momentum, scored against separate thresholds for large cap vs. low/mid cap tokens. chain fees performance +30 / 0 bullish (30 day fee growth +1%) → +30 30 day spending momentum on network fees (geometric mean of daily returns). Only tracked for a handful of L1 native tokens (e.g. ETH, TRX, AVAX, RON); always 0 for every other token. trading range performance +15 / 0 bullish (price breaks above resistance in an uptrend) → +15 14 day price trend combined with position vs. nearest support/resistance. In practice fires mostly on established tokens that have well defined levels — can fire at any market cap, but is rare for new / low liquidity tokens. chain tvl performance 0 / 35 bearish (composite TVL growth < 0) → 35 TVL momentum composite signal. Only non zero for chains / L2s whose TVL is tracked. No positive path exists — the field only deducts. protocol fees performance 0 / 25 bearish (14 day fee growth < 3%) → 25 14 day protocol fee momentum. Only non zero for tokens backed by protocols with measurable fee revenue. No positive path — deduction only. Risk Score (Safety — "filters falling knives / dangerous setups") Range: 60 to +80 (arithmetic bounds). Safety threshold: 0 (positive = safer, negative = riskier). Sum of the four risk fields below. For every risk field: upstream score low → positive contribution, high → negative contribution, medium /missing → 0. Field Contribution What the underlying indicator measures btc reflexivity risk +40 / 20 Rolling 5 event median ratio of token drop to BTC drop on days BTC falls 3%. Ratio ≤ 1 → low → +40 (token holds up as well as or better than BTC on drawdowns). Ratio 1 → high → 20 (token drops harder than BTC). Skipped for stablecoins and tokens with <$1M 24h volume. liquidity risk +20 / 20 Ratio of on chain liquidity to market cap ( total liquidity usd / market cap usd ). Higher ratio → low → +20 (deep books relative to cap). Very thin ratio → high → 20 . concentration risk +10 / 10 Top 10 holder concentration as a fraction of supply. < 0.12 → low → +10 (well distributed). 0.55 → high → 10 (whale concentrated). inflation risk +10 / 10 EMA of daily token supply inflation rate. Negative / near zero → low → +10 (stable or deflationary supply). Strongly positive → high → 10 (high dilution). Only evaluated for tokens = $100M market cap. Other response fields: market cap group : lowcap / midcap / largecap — see thresholds above. latest date : ISO datetime of the most recent indicator refresh for this token. last trigger on : ISO datetime of the most recent trigger across contributing indicators (MAX aggregate — individual indicators may be days to months stale even when this looks fresh). Use indicators on a specific token to audit per indicator ages. Stablecoins rank high but aren't picks. USDC, USDT, DAI, FDUSD and similar score well on chain fees + liquidity indicators but aren't what "what should I buy" means. Filter them out of the shortlist using the canonical whitelist at nansen dbt ch tokens/seeds/stablecoins for indicator.csv before drilling into indicators . Typical workflow: start with top tokens for a shortlist → drop stablecoins → run indicators on the top 3–5 to inspect individual signals and their signal percentile → flow intelligence only on the finalists to confirm SM conviction. Field meanings and contribution mappings above are sourced from nansen dbt ch tokens/models/indicators/api nansen score indicators all tokens latest.sql and per indicator model yml files. Sign conventions and live value ranges were validated against production ClickHouse data. Flow intelligence is credit heavy. Use it to confirm SM conviction on tokens that already look promising from screener + indicators, not as a first pass on every token.

nansen-token-screener